Instructions to use mirroring/civitai_mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mirroring/civitai_mirror with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirroring/civitai_mirror", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload /models/Stable-diffusion/galaxytimemachinesGTM_v3Pruned.safetensors with huggingface_hub
92ed6a3 - Xet hash:
- fed5dd34da26d7ef4c777965051e09ec7f52a2e6ea7b3b4e0e492bd51fdf3b79
- Size of remote file:
- 2.13 GB
- SHA256:
- 0f7106805a6f0435779e334da7818ce3917aea87dbfd742d3f451cf76d457b65
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